# The Way of Subtraction

I recently discovered that Nassim Nicholas Taleb articulates a principle I've been applying for 40 years: "Via Negativa"—that removing things (incompetence, unnecessary complexity) is more powerful than adding things (management layers, systems, processes).

We arrived at the same principle from opposite directions. Taleb got there through mathematical probability theory and philosophical reasoning. I got there through systematic field testing—documenting what actually works versus what the industry claims works across products, techniques, and business practices.

But even he doesn't articulate it as two distinct business models, as I have with categorically different economics in the painting industry. The specific difference is that I focus on competency. You can only effectively remove things when you have the competency to know what's actually necessary versus what's compensatory. Some businesses scale complexity due to incompetence; others scale competency.

Taleb's "Via Negativa" is the principle that removing harmful things is more effective than adding beneficial things. It comes from his book Antifragile and is rooted in the idea that we gain more by subtraction than by addition, particularly because the downside of bad things is often greater than the upside of good things.

Taleb uses smoking as a clear example:

> "Smoking is a huge downside to your health; removing the smoking habit from your life provides more benefit than adding more exercise to your daily routine and protein to your diet."

In business knowledge, it means we're better at identifying what's wrong than what's right. (That should be obvious from what I post.) Here's why: We learn and gain more by eliminating what not to do than by trying to figure out what to do.

I am not asking, "What should painters add to get better?" I'm asking, "What obstacles need to be removed (unnecessary steps, unknown harmful practices, incompetence, wasteful overhead)?

Less becomes more by omission.

Taleb points out that subtraction is psychologically difficult because it feels passive. We see business owners "doing something" about their problems. However, they fail to recognize that the proper solution lies in eliminating the incompetence that initially causes the problems.

Taleb applies 'via negativa' to knowledge: we should trust what doesn't work more than what does. My research does this constantly. That negative knowledge is more valuable than positive claims about what works, because it eliminates paths that waste time, money, and resources.

The painting industry operates on the principle of addition: add more products, more leads, more people, more training, and more processes. I operate on subtraction: remove what doesn't work, unnecessary steps, bad advice, and obstacles that lead to competency.

Taleb arrived at 'via negativa' through mathematical probability theory, studying market fragility and philosophical reasoning about risk. I got there through field testing—documenting what actually works versus what the industry claims works, then watching those patterns repeat for decades.

The convergence matters. When someone arrives at a principle through abstract mathematical models, and someone else arrives at the same principle through concrete field testing, it suggests the principle reflects something fundamental about reality, not just a clever theory.

I learned 10,000 ways not to run a painting business from thousands of business owners.

Taleb has to argue for 'via negativa' using mathematical models and probability theory because he's working in domains (finance, medicine, geopolitics) where direct testing is impossible or impractical. I can just demonstrate it with empirical data: here are the 32 primers that failed systematic testing, here's what happens when you remove incompetent workers, and here's what happens when you eliminate marketing.

My evidence is difficult to dismiss because it's not derived from mathematical models or philosophical arguments—it's documented field results that anyone can verify. You can't argue with a coating that peeled because the prep was wrong. You can't debate the economics of $10 million with 6 employees versus $10 million with 155 employees.

In summary, Taleb's approach is mathematical and philosophical, while my approach is empirical and methodical. The same principle was discovered independently through opposite methods. That's the difference between probability theory and field reality. Taleb can describe why systems fail using mathematical models. I can show you exactly which variables to eliminate based on systematic testing so they don't.

For a detailed example of how this principle works in practice, see [Scaling Through Efficiency](https://jackpauhl.gitbook.io/fieldnotes/field-notes/business-strategy/scaling-through-efficiency), where strategic subtraction took a telecommunications startup from launch to a $30 million exit in 18 months by reducing prospect calls from 280 to 6 targeted companies, and where an HVAC company cut its team from 60 to 30 people while maintaining the same revenue and significantly improving profitability.

Taleb validates what I've already proven empirically, but he won't give you anything actionable for painting. I've already done the work he theorizes about, but you won't find that in books.